The field of economic models and forecasting encompasses the development and application of theoretical, empirical and computational frameworks to predict future economic outcomes. These models range ...

Structural economic models, while parsimonious and interpretable, often exhibit poor data fit and limited forecasting performance. Machine learning models, by contrast, offer substantial flexibility ...

Daniel Liberto is a journalist with over 10 years of experience working with publications such as the Financial Times, The Independent, and Investors Chronicle. Economic forecasting is the process of ...

Donald Trump is selling a story of an economy on the brink of spectacular revival, insisting that growth will surge and ...

Forbes contributors publish independent expert analyses and insights. Quantitative Finance Program Director, at Stevens Inst. of Technology This is not a new diagnosis. There is today a hapless ...

Wyoming’s economic outlook is mixed for 2025, with a continuing decline in the coal industry, shortages in housing and child care, and an aging population clouding the state’s mid- and long-term ...

Planning for the future has never been as vital — nor as daunting — as it is today. The past five years have demonstrated just how tumultuous the construction industry can be – from supply chain ...

It has been especially difficult to get a read on the current state of this economy, ever since the government shutdown started last week and agencies in Washington stopped delivering economic data.

Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...

AI models can process thousands of factors simultaneously, including demand signals across multiple items, macroeconomic ...

Accurate forecasts matter as AI-powered data centers drive rapid demand growth. Underestimating demand can strain reliability ...